Detecting Bimodal Spectral Structure in Single-Channel Time Series: A Model-Free Metric with Validation on Meditation EEG
Zenodo (CERN European Organization for Nuclear Research) September 20, 2026 Qiao Ou
Existing time-series analysis methods—power spectral density, wavelet transforms, and stationarity metrics such as coefficient of variation (CV) and sample entropy—characterize signals through band power, peak location, or amplitude variability. These approaches do not quantify whether a signal contains two distinct oscillatory modes separated by a valley within a frequency band of interest. We...